to combine bootstrap and Bayesian inferences. Our goal is to yield intervals that combine robustness with good small … (Rosenheck et al, 1997).In part III, we consider the combination of bootstrap and Bayes inferences. In the case of independent … identically distributed samples, the simple bootstrap yields confidence limits that are asymptotically correct to the first order …

Bayesian literature, with many variations and some preference for two versions labelled pppost and pcpred. The bootstrap method … develop: an ancillary based p-value designated panc; a special version of the Bayesian pcpred; and a bootstrap based p …. For implementation the Bayesian and likelihood procedures would perhaps require the same numerical computations, while the …

fitting time series data using a Bayesian dynamical systems approach we identify non-linear interactions between GDP, child …

This note presents the R package bayesGARCH (Ardia, 2007) which provides functions for the Bayesian estimation of the …